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Bridging the physical and digital world through interaction remains a core challenge in augmented reality (AR). Existing systems target single objects, limiting support for planning, comparison, and assembly tasks that depend on…

In this paper, we present Retargetable AR, a novel AR framework that yields an AR experience that is aware of scene contexts set in various real environments, achieving natural interaction between the virtual and real worlds. To this end,…

计算机视觉与模式识别 · 计算机科学 2020-08-19 Tomu Tahara , Takashi Seno , Gaku Narita , Tomoya Ishikawa

Seamless integration of virtual and physical worlds in augmented reality benefits from the system semantically "understanding" the physical environment. AR research has long focused on the potential of context awareness, demonstrating novel…

人机交互 · 计算机科学 2024-10-08 Chengyuan Xu , Radha Kumaran , Noah Stier , Kangyou Yu , Tobias Höllerer

This work focuses on object goal visual navigation, aiming at finding the location of an object from a given class, where in each step the agent is provided with an egocentric RGB image of the scene. We propose to learn the agent's policy…

计算机视觉与模式识别 · 计算机科学 2021-04-21 Bar Mayo , Tamir Hazan , Ayellet Tal

Making the interaction with embodied conversational agents accessible in a ubiquitous and natural manner is not only a question of the underlying software but also brings challenges in terms of the technical system that is used to display…

人机交互 · 计算机科学 2024-08-13 Carolin Schindler , Daiki Mayumi , Yuki Matsuda , Niklas Rach , Keiichi Yasumoto , Wolfgang Minker

This paper presents AIDEN, an artificial intelligence-based assistant designed to enhance the autonomy and daily quality of life of visually impaired individuals, who often struggle with object identification, text reading, and navigation…

Unlike the free exploration of childhood, the demands of daily life reduce our motivation to explore our surroundings, leading to missed opportunities for informal learning. Traditional tools for knowledge acquisition are reactive, relying…

人机交互 · 计算机科学 2025-02-25 Runze Cai , Nuwan Janaka , Hyeongcheol Kim , Yang Chen , Shengdong Zhao , Yun Huang , David Hsu

Embodied agents tasked with complex scenarios, whether in real or simulated environments, rely heavily on robust planning capabilities. When instructions are formulated in natural language, large language models (LLMs) equipped with…

With the development of advanced communication technology, connected vehicles become increasingly popular in our transportation systems, which can conduct cooperative maneuvers with each other as well as road entities through…

人机交互 · 计算机科学 2020-09-01 Ziran Wang , Kyungtae Han , Prashant Tiwari

While visual search for targets within a complex scene might benefit from using augmented-reality (AR) head-mounted display (HMD) technologies helping to efficiently direct human attention, imperfectly reliable automation support could…

Digital technologies are reshaping how people experience their surroundings, often pulling focus toward virtual spaces and making it harder to stay present and engaged. Wearable augmented reality (AR), by embedding digital information into…

人机交互 · 计算机科学 2025-03-05 Tram Thi Minh Tran

We introduce a novel setting, wherein an agent needs to learn a task from a demonstration of a related task with the difference between the tasks communicated in natural language. The proposed setting allows reusing demonstrations from…

人工智能 · 计算机科学 2023-01-25 Prasoon Goyal , Raymond J. Mooney , Scott Niekum

Future astronauts living and working on the Moon will face extreme environmental conditions impeding their operational safety and performance. While it has been suggested that Augmented Reality (AR) Head-Up Displays (HUDs) could potentially…

人机交互 · 计算机科学 2023-03-21 Leonie Becker , Tommy Nilsson , Paul Topf Aguiar de Medeiros , Flavie Rometsch

This paper considers the problem of rearrangement planning, i.e finding a sequence of manipulation actions that displace multiple objects from an initial configuration to a given goal configuration. Rearrangement is a critical skill for…

机器人学 · 计算机科学 2019-05-21 Changkyu Song , Abdeslam Boularias

This paper considers the problem of designating navigation goal locations for interactive mobile robots. We propose a point-and-click interface, implemented with an Augmented Reality (AR) headset. The cameras on the AR headset are used to…

机器人学 · 计算机科学 2022-10-25 Morris Gu , Elizabeth Croft , Akansel Cosgun

Visual assistive technologies, such as Microsoft Seeing AI, can improve access to environmental information for persons with blindness or low vision (pBLV). Yet, the physical and functional implications of different device embodiments…

人机交互 · 计算机科学 2026-04-30 Gaurav Seth , Hoa Pham , Giles Hamilton-Fletcher , Charles Leclercq , John-Ross Rizzo

With the transition to fully autonomous vehicles, non-driving related tasks (NDRTs) become increasingly important, allowing passengers to use their driving time more efficiently. In-car Augmented Reality (AR) gives the possibility to engage…

Augmented Reality (AR) technology creates new immersive experiences in entertainment, games, education, retail, and social media. AR content is often primarily visual and it is challenging to enable access to it non-visually due to the mix…

人机交互 · 计算机科学 2020-10-14 Jaylin Herskovitz , Jason Wu , Samuel White , Amy Pavel , Gabriel Reyes , Anhong Guo , Jeffrey P. Bigham

Text selection is a common and essential activity during text interaction in all interactive systems. As Augmented Reality (AR) head-mounted displays (HMDs) become more widespread, they will need to provide effective interaction techniques…

人机交互 · 计算机科学 2023-01-02 Xinyi Liu , Xuanru Meng , Becky Spittle , Wenge Xu , BoYu Gao , Hai-Ning Liang

Recent developments in artificial intelligence (AI) have permeated through an array of different immersive environments, including virtual, augmented, and mixed realities. AI brings a wealth of potential that centers on its ability to…

人机交互 · 计算机科学 2024-05-10 Wangfan Li , Rohit Mallick , Carlos Toxtli-Hernandez , Christopher Flathmann , Nathan J. McNeese